research
∙
11/05/2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws Towards Better Practices
Graph classification has applications in bioinformatics, social sciences...
share
research
∙
02/12/2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Most graph neural networks (GNN) perform poorly in graphs where neighbor...
research
∙
08/26/2020
Benchmarking Semi-supervised Federated Learning
Federated learning promises to use the computational power of edge devic...
research
∙
12/16/2018
